
Wilson Lin from Cursor details the FastRender project, an experimental browser rendering engine built by a swarm of AI coding agents. The project explores scaling coding agents beyond single-agent systems, observing their collaborative behaviors, and addressing challenges like synchronization. Using up to 2,000 concurrent agents, the system achieved thousands of commits per hour, rendering basic web pages like Wikipedia and CNN.com. A key aspect involves a planner-worker architecture, where agents divide tasks and minimize merge conflicts, referencing CSS and HTML specifications. Surprising outcomes included the agents' ability to make reasonable dependency choices and the discovery that aggressive timeouts can force code optimization. The research indicates that these agents are surprisingly capable of working together on large projects.
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